1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2020
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance
Matthew Almeida, Wei Ding, Scott Crouter +1
The study of model bias and variance with respect to decision boundaries is critically important in supervised classification. There is generally a tradeoff between the two, as fin…
q-bio.QM2017★ 1 cited
Network-based Distance Metric with Application to Discover Disease Subtypes in Cancer
Jipeng Qiang, Wei Ding, John Quackenbush +1
While we once thought of cancer as single monolithic diseases affecting a specific organ site, we now understand that there are many subtypes of cancer defined by unique patterns o…